{"id":"W7070797350","doi":"","title":"Promoting Climate Literacy in British Columbia’s Apprenticeship System","year":2022,"lang":"en","type":"report","venue":"York University Digital Library (York University)","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Apprenticeship; Literacy; Training (meteorology); Vocational education; Process (computing); Qualitative research","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001057494,0.0002272227,0.0001457964,0.0007276609,0.006662447,0.003155807,0.001100203,0.0006632314,0.01039848],"category_scores_gemma":[0.002145563,0.0002475378,0.00009435404,0.0008087661,0.0009925946,0.0006261399,0.003540695,0.001146545,0.001703972],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01138956,"about_ca_system_score_gemma":0.0375103,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.7608294,"about_ca_topic_score_gemma":0.931345,"domain_scores_codex":[0.9990324,0.0001663226,0.00002181303,0.00009353471,0.0002386052,0.0004473348],"domain_scores_gemma":[0.9961128,0.0002671233,0.00007044714,0.00009285251,0.001181012,0.00227574],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0004446472,0.002615749,0.2053299,0.0005091036,0.00002766313,0.00365003,0.1501085,0.0007109733,0.01233284,0.004385725,0.08455034,0.5353345],"study_design_scores_gemma":[0.00005462068,0.0006197979,0.4447026,0.0004963881,0.00001711622,0.0005894863,0.1686318,0.0008641967,0.002286397,0.0005272921,0.3811217,0.00008870447],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9289993,0.0003452032,0.0003785759,0.00198632,0.00007024233,0.0001793752,0.0001448718,0.00007256861,0.06782351],"genre_scores_gemma":[0.9412307,0.0006004804,0.001135045,0.001126976,0.00001398259,0.00009087291,0.0003376787,0.0000262805,0.05543807],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9886104,"threshold_uncertainty_score":0.4811583,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01565358724365703,"score_gpt":0.183188483121109,"score_spread":0.167534895877452,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}